{"title":"A Fuzzy Energy-based extension to AODV routing","authors":"M. N. Torshiz, H. Amintoosi, A. Movaghar","doi":"10.1109/ISTEL.2008.4651330","DOIUrl":null,"url":null,"abstract":"Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile nodes must be controlled such that the power dissipation rates of all nodes are rarely the same. This paper presents a fuzzy extension to ad hoc on demand distance vector routing protocol with power considerations. The path selected by conventional AODV routing protocol is not the optimal path because AODV selects the first path that has been found which is not necessarily the best. Routing optimality affects the network performance, especially when the load is high. Longer route consumes more bandwidth, produces more delay, and is more prone to disconnections. Fuzzy energy-based AODV (FE-AODV) is a technique that monitors the routes and tries to select the optimal route on the basis of the minimum bandwidth and hop count of each route. It also tries to increase the network life time so that the power dissipation rates of all nodes are rarely the same. The proposed fuzzy logic method is evaluated and compared with conventional method using NS2.","PeriodicalId":133602,"journal":{"name":"2008 International Symposium on Telecommunications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTEL.2008.4651330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile nodes must be controlled such that the power dissipation rates of all nodes are rarely the same. This paper presents a fuzzy extension to ad hoc on demand distance vector routing protocol with power considerations. The path selected by conventional AODV routing protocol is not the optimal path because AODV selects the first path that has been found which is not necessarily the best. Routing optimality affects the network performance, especially when the load is high. Longer route consumes more bandwidth, produces more delay, and is more prone to disconnections. Fuzzy energy-based AODV (FE-AODV) is a technique that monitors the routes and tries to select the optimal route on the basis of the minimum bandwidth and hop count of each route. It also tries to increase the network life time so that the power dissipation rates of all nodes are rarely the same. The proposed fuzzy logic method is evaluated and compared with conventional method using NS2.